The Full Information Maximum Likelihood Procedure for Inference on Cointegration - with Applications
AbstractThis paper gives a systematic application of maximum likelihood inference concerning cointegration vectors in non-stationary vector valued autoregressive time series models with Gaussian errors, where the model includes a constant term and seasonal dummies. The hypothesis of cointegration is given a simple parametric form in terms of cointegration vectors and their weights. The relation between the constant term and a linear trend in the non-stationary part of the process is discussed and related to the weights. Tests for the presence of cointegration vectors, both with and without a linear trend in the non-stationary part of the process are derived. Then estimates and tests under linear restrictions on the cointegration vectors and their weights are given. The methods are illustrated by data from the Danish and the Finnish economy on the demand for money.
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Bibliographic InfoPaper provided by University of Copenhagen. Department of Economics in its series Discussion Papers with number 89-11.
Length: 43 pages
Date of creation: Mar 1989
Date of revision:
Publication status: Published as: "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money", in: Oxford Bulletin of Economics and Statistics, 1990, 52(2), pp. 169-210
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cointegration; error correction; maximum likelihood estimation; likelihood ratio test; vector autoregressive processes; money demand; Denmark; Finland;
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